30.01.2014 Aufrufe

Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

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determined by the visible horizon, which can be approximated efficiently using a<br />

multiresolution sampling approach. Local light sources are represented by<br />

spherical lights and the incident radiance at receiver points is projected into the<br />

spherical harmonic basis. Hence, this method produces convincing shadows on<br />

dynamic height fields more efficiently than global illumination methods for<br />

general geometry.<br />

Johannes Novotny<br />

Application of Smart Visibility on Medical 3D Ultrasound Datasets<br />

Studium: Masterstudium Visual Computing<br />

BetreuerIn: Ao.Univ.Prof. Dr. Eduard Gröller<br />

Ultrasonography is one of the standard medical imaging techniques used in<br />

pregnancy examinations. It is widely available due to its low cost, portability and<br />

simple diagnostic procedure. Three-dimensional ultrasound (US) imaging has been<br />

gaining popularity in the area of prenatal care recently. It provides examiners with a<br />

coherent visualization of the fetus. However, within scanned 3D data sets, the fetus<br />

is often surrounded by occluding structures which reduce its visibility in the<br />

resulting visualizations. Current ultrasound machines provide several methods to<br />

remove these occluders from visualizations. These methods are in general difficult<br />

to control. As a result, the work flow of US examinations has to be interrupted in<br />

order to apply occlusion removal to selected scans. To reduce the required user<br />

interaction, this thesis evaluates a recently developed occlusion removal technique.<br />

The smart visibility method for prenatal ultrasound uses a heuristic approach to<br />

identify anatomic features within a data set. From these features, a clipping surface<br />

that separates the fetus from its occluders is calculated. The use of the clipping<br />

surface in combination with cutaway and ghosting visualization techniques allows<br />

an unoccluded view of the fetus. The clipping surface calculated by the smart<br />

visibility method is obtained by using a surface reconstruction algorithm. Within this<br />

thesis, different surface reconstruction techniques were evaluated for their<br />

occlusion removal quality and performance. It was possible to show that one of the<br />

evaluated approaches provides good results in a majority of test cases. This<br />

approach also reduces the required user interaction to a single parameter. By using<br />

the hardware controls of an US machine to manipulate the adjustable parameter,<br />

the smart visibility method can be used in realtime scenarios. GE Healthcare is<br />

evaluating the smart visibility method and considers to include it in upcoming<br />

versions of their US machine firmwares.<br />

Simon Parzer<br />

Irrational Image Generator<br />

Studium: Masterstudium Medieninformatik<br />

BetreuerIn: Ao.Univ.Prof. Dr. Eduard Gröller<br />

52<br />

Mit Hilfe eines von Hofstetter Kurt entwickeltem Verfahren, genannt Inductive<br />

Rotation (IR), kann auf einer zweidimensionalen Ebene aus einem einzigen

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